期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：127-130
语种：English
出版社：Ayushmaan Technologies
摘要：Spam is any junk message or fake message sent by spammers to lure the legitimate users. Spam classification in Twitter has been performed by using various techniques like Naïve Bayes, Support Vector Machine, URL analysis etc. In this research, classification for various tweets have been performed as spam and fam or non-spam. This research first extracts the live tweets and then preprocess them to refine the tweets. Then, features are extracted and Multilayer Perceptron Algorithm is applied.
